{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Trends and cycles in unemployment\n",
    "\n",
    "Here we consider three methods for separating a trend and cycle in economic data. Supposing we have a time series $y_t$, the basic idea is to decompose it into these two components:\n",
    "\n",
    "$$\n",
    "y_t = \\mu_t + \\eta_t\n",
    "$$\n",
    "\n",
    "where $\\mu_t$ represents the trend or level and $\\eta_t$ represents the cyclical component. In this case, we consider a *stochastic* trend, so that $\\mu_t$ is a random variable and not a deterministic function of time. Two of methods fall under the heading of \"unobserved components\" models, and the third is the popular Hodrick-Prescott (HP) filter. Consistent with e.g. Harvey and Jaeger (1993), we find that these models all produce similar decompositions.\n",
    "\n",
    "This notebook demonstrates applying these models to separate trend from cycle in the U.S. unemployment rate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import statsmodels.api as sm\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pandas_datareader.data import DataReader\n",
    "endog = DataReader('UNRATE', 'fred', start='1954-01-01')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hodrick-Prescott (HP) filter\n",
    "\n",
    "The first method is the Hodrick-Prescott filter, which can be applied to a data series in a very straightforward method. Here we specify the parameter $\\lambda=129600$ because the unemployment rate is observed monthly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "hp_cycle, hp_trend = sm.tsa.filters.hpfilter(endog, lamb=129600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Unobserved components and ARIMA model (UC-ARIMA)\n",
    "\n",
    "The next method is an unobserved components model, where the trend is modeled as a random walk and the cycle is modeled with an ARIMA model - in particular, here we use an AR(4) model. The process for the time series can be written as:\n",
    "\n",
    "$$\n",
    "\\begin{align}\n",
    "y_t & = \\mu_t + \\eta_t \\\\\n",
    "\\mu_{t+1} & = \\mu_t + \\epsilon_{t+1} \\\\\n",
    "\\phi(L) \\eta_t & = \\nu_t\n",
    "\\end{align}\n",
    "$$\n",
    "\n",
    "where $\\phi(L)$ is the AR(4) lag polynomial and $\\epsilon_t$ and $\\nu_t$ are white noise."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\statsmodels\\tsa\\base\\tsa_model.py:165: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n",
      "  % freq, ValueWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                        Unobserved Components Results                         \n",
      "==============================================================================\n",
      "Dep. Variable:                 UNRATE   No. Observations:                  791\n",
      "Model:                    random walk   Log Likelihood                 255.062\n",
      "                              + AR(4)   AIC                           -498.124\n",
      "Date:                Tue, 24 Dec 2019   BIC                           -470.092\n",
      "Time:                        15:04:29   HQIC                          -487.349\n",
      "Sample:                    01-01-1954                                         \n",
      "                         - 11-01-2019                                         \n",
      "Covariance Type:                  opg                                         \n",
      "================================================================================\n",
      "                   coef    std err          z      P>|z|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------\n",
      "sigma2.level     0.0175      0.003      6.405      0.000       0.012       0.023\n",
      "sigma2.ar        0.0106      0.003      3.515      0.000       0.005       0.016\n",
      "ar.L1            1.0404      0.066     15.764      0.000       0.911       1.170\n",
      "ar.L2            0.4727      0.104      4.525      0.000       0.268       0.677\n",
      "ar.L3           -0.3403      0.127     -2.686      0.007      -0.589      -0.092\n",
      "ar.L4           -0.1832      0.077     -2.371      0.018      -0.335      -0.032\n",
      "===================================================================================\n",
      "Ljung-Box (Q):                       75.97   Jarque-Bera (JB):                44.03\n",
      "Prob(Q):                              0.00   Prob(JB):                         0.00\n",
      "Heteroskedasticity (H):               0.49   Skew:                             0.25\n",
      "Prob(H) (two-sided):                  0.00   Kurtosis:                         4.05\n",
      "===================================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n"
     ]
    }
   ],
   "source": [
    "mod_ucarima = sm.tsa.UnobservedComponents(endog, 'rwalk', autoregressive=4)\n",
    "# Here the powell method is used, since it achieves a\n",
    "# higher loglikelihood than the default L-BFGS method\n",
    "res_ucarima = mod_ucarima.fit(method='powell', disp=False)\n",
    "print(res_ucarima.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Unobserved components with stochastic cycle (UC)\n",
    "\n",
    "The final method is also an unobserved components model, but where the cycle is modeled explicitly.\n",
    "\n",
    "$$\n",
    "\\begin{align}\n",
    "y_t & = \\mu_t + \\eta_t \\\\\n",
    "\\mu_{t+1} & = \\mu_t + \\epsilon_{t+1} \\\\\n",
    "\\eta_{t+1} & = \\eta_t \\cos \\lambda_\\eta + \\eta_t^* \\sin \\lambda_\\eta + \\tilde \\omega_t \\qquad & \\tilde \\omega_t \\sim N(0, \\sigma_{\\tilde \\omega}^2) \\\\\n",
    "\\eta_{t+1}^* & = -\\eta_t \\sin \\lambda_\\eta + \\eta_t^* \\cos \\lambda_\\eta + \\tilde \\omega_t^* & \\tilde \\omega_t^* \\sim N(0, \\sigma_{\\tilde \\omega}^2)\n",
    "\\end{align}\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\statsmodels\\tsa\\base\\tsa_model.py:165: ValueWarning: No frequency information was provided, so inferred frequency MS will be used.\n",
      "  % freq, ValueWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            Unobserved Components Results                            \n",
      "=====================================================================================\n",
      "Dep. Variable:                        UNRATE   No. Observations:                  791\n",
      "Model:                           random walk   Log Likelihood                 219.139\n",
      "                   + damped stochastic cycle   AIC                           -430.277\n",
      "Date:                       Tue, 24 Dec 2019   BIC                           -411.599\n",
      "Time:                               15:04:32   HQIC                          -423.097\n",
      "Sample:                           01-01-1954                                         \n",
      "                                - 11-01-2019                                         \n",
      "Covariance Type:                         opg                                         \n",
      "===================================================================================\n",
      "                      coef    std err          z      P>|z|      [0.025      0.975]\n",
      "-----------------------------------------------------------------------------------\n",
      "sigma2.level        0.0142      0.005      2.823      0.005       0.004       0.024\n",
      "sigma2.cycle        0.0172      0.005      3.513      0.000       0.008       0.027\n",
      "frequency.cycle     0.0698      0.005     13.603      0.000       0.060       0.080\n",
      "damping.cycle       0.9896      0.004    240.586      0.000       0.982       0.998\n",
      "===================================================================================\n",
      "Ljung-Box (Q):                      170.72   Jarque-Bera (JB):                85.76\n",
      "Prob(Q):                              0.00   Prob(JB):                         0.00\n",
      "Heteroskedasticity (H):               0.48   Skew:                             0.47\n",
      "Prob(H) (two-sided):                  0.00   Kurtosis:                         4.31\n",
      "===================================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n"
     ]
    }
   ],
   "source": [
    "mod_uc = sm.tsa.UnobservedComponents(\n",
    "    endog, 'rwalk',\n",
    "    cycle=True, stochastic_cycle=True, damped_cycle=True,\n",
    ")\n",
    "# Here the powell method gets close to the optimum\n",
    "res_uc = mod_uc.fit(method='powell', disp=False)\n",
    "# but to get to the highest loglikelihood we do a\n",
    "# second round using the L-BFGS method.\n",
    "res_uc = mod_uc.fit(res_uc.params, disp=False)\n",
    "print(res_uc.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Graphical comparison\n",
    "\n",
    "The output of each of these models is an estimate of the trend component $\\mu_t$ and an estimate of the cyclical component $\\eta_t$. Qualitatively the estimates of trend and cycle are very similar, although the trend component from the HP filter is somewhat more variable than those from the unobserved components models. This means that relatively mode of the movement in the unemployment rate is attributed to changes in the underlying trend rather than to temporary cyclical movements."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 936x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, figsize=(13,5));\n",
    "axes[0].set(title='Level/trend component')\n",
    "axes[0].plot(endog.index, res_uc.level.smoothed, label='UC')\n",
    "axes[0].plot(endog.index, res_ucarima.level.smoothed, label='UC-ARIMA(2,0)')\n",
    "axes[0].plot(hp_trend, label='HP Filter')\n",
    "axes[0].legend(loc='upper left')\n",
    "axes[0].grid()\n",
    "\n",
    "axes[1].set(title='Cycle component')\n",
    "axes[1].plot(endog.index, res_uc.cycle.smoothed, label='UC')\n",
    "axes[1].plot(endog.index, res_ucarima.autoregressive.smoothed, label='UC-ARIMA(2,0)')\n",
    "axes[1].plot(hp_cycle, label='HP Filter')\n",
    "axes[1].legend(loc='upper left')\n",
    "axes[1].grid()\n",
    "\n",
    "fig.tight_layout();"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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